Racial bias in pain assessment and treatment recommendations, and false beliefs about biological differences between blacks and whites.

Black Americans are systematically undertreated for pain relative to white Americans. We examine whether this racial bias is related to false beliefs about biological differences between blacks and whites (e.g., "black people's skin is thicker than white people's skin"). Study 1 documented these beliefs among white laypersons and revealed that participants who more strongly endorsed false beliefs about biological differences reported lower pain ratings for a black (vs. white) target. Study 2 extended these findings to the medical context and found that half of a sample of white medical students and residents endorsed these beliefs. Moreover, participants who endorsed these beliefs rated the black (vs. white) patient's pain as lower and made less accurate treatment recommendations. Participants who did not endorse these beliefs rated the black (vs. white) patient's pain as higher, but showed no bias in treatment recommendations. These findings suggest that individuals with at least some medical training hold and may use false beliefs about biological differences between blacks and whites to inform medical judgments, which may contribute to racial disparities in pain assessment and treatment.

Health and health care of African refugees: an underrecognized minority.

BACKGROUND AND PURPOSE: The United States is home to 300000 refugees from around the world, with 69000 from 51 African countries. Refugees face significant challenges in accessing quality health care and present challenges to clinicians and medical institutions in providing care. There is limited published literature on health disparities experienced by African refugees who settle in the United States. METHODS: The University of Virginia International Family Medicine Clinic (IFMC) was started in 2002 to serve the growing local refugee population. Residents, attending physicians, social workers, and community agencies collaboratively care for refugee patients. A database is kept with information about all patient encounters. FINDINGS: The IFMC serves 300 African patients; their mean age is 26.1 years. Countries of origin include Somalia (24%); Liberia (16%); the Democratic Republic of the Congo (15%); Sudan (7%); Togo, Kenya, and Burundi (each 6%); and others. Patients present with communicable diseases, nutrition-related diseases, and problems related to physical and emotional trauma. CONCLUSIONS: In this paper, we: (1) describe the health screenings that African refugees receive overseas and upon entry to the United States; (2) describe the medical and psychological conditions of African refugees; (3) identify the challenges that refugees face in obtaining care and those that clinicians face in providing this care; (4) discuss the health disparities that African refugees experience; and (5) describe the IFMC as a model of collaborative, multidisciplinary care. Additional research is needed to further our understanding of the unique cultural, medical, and psychological needs of the diverse African refugee community.

Emotional, developmental and behavioural co-morbidities of children with chronic health conditions.

AIM: This study estimated and compared rates of emotional, developmental and behavioural (EDB) problems among children with chronic health conditions. METHODS: Rates of EDB problems were estimated using data from the 2005-2007 National Survey of Children with Special Health Care Needs. The National Survey of Children's Health (NSCH) 2003 was used to provide national estimates as referent values. RESULTS: The overall rate of EDB problems for children with chronic health conditions was 15%, about three times the rate for children in the general US population. The rate of attention deficit disorder/attention-deficit/hyperactivity disorder was 18%, over twice that for children in the general population. Children with migraine or other types of recurrent headaches had the highest rate of EDB problems (47%), about nine times the rate for the NSCH sample; those with arthritis or other joint problems had nearly 30%, about five times the rate for the NSCH. CONCLUSIONS: Chronic health conditions are associated with high rates of EDB problems. Children with recurrent headaches and arthritis have particularly high rates, possibly related to pain associated with these conditions. Chronic health condition management programmes should address both medical treatment as well as EDB co-morbid problems through a multidimensional approach to care.

Avertable deaths associated with household income in Virginia.

OBJECTIVES: We estimated how many deaths would be averted if the entire population of Virginia experienced the mortality rates of the 5 most affluent counties or cities. METHODS: Using census data and vital statistics for the years 1990 through 2006, we applied the mortality rates of the 5 counties/cities with the highest median household income to the populations of all counties and cities in the state. RESULTS: If the mortality rates of the reference population had applied to the entire state, 24.3% of deaths in Virginia from 1990 through 2006 (range = 21.8%-28.1%) would not have occurred. An annual mean of 12 954 deaths would have been averted (range = 10 548-14 569), totaling 220 211 deaths from 1990 through 2006. In some of the most disadvantaged areas of the state, nearly half of deaths would have been averted. CONCLUSIONS: Favorable conditions that exist in areas with high household incomes exert a major influence on mortality rates. The corollary-that health suffers when society is exposed to economic stresses-is especially timely amid the current recession. Further research must clarify the extent to which individual-level factors (e.g., earnings, education, race, health insurance) and community characteristics can improve health outcomes.

Which hospitals have significantly better or worse than expected mortality rates for acute myocardial infarction patients? Improved risk adjustment with present-at-admission diagnoses.

BACKGROUND: Public reports that compare hospital mortality rates for patients with acute myocardial infarction are commonly used strategies for improving the quality of care delivered to these patients. Fair comparisons of hospital mortality rates require thorough adjustments for differences among patients in baseline mortality risk. This study examines the effect on hospital mortality rate comparisons of improved risk adjustment methods using diagnoses reported as present-at-admission. METHODS AND RESULTS: Logistic regression models and related methods originally used by California to compare hospital mortality rates for patients with acute myocardial infarction are replicated. These results are contrasted with results obtained for the same hospitals by patient-level mortality risk adjustment models using present-at-admission diagnoses, using 3 statistical methods of identifying hospitals with higher or lower than expected mortality: indirect standardization, adjusted odds ratios, and hierarchical models. Models using present-at-admission diagnoses identified substantially fewer hospitals as outliers than did California model A for each of the 3 statistical methods considered. CONCLUSIONS: Large improvements in statistical performance can be achieved with the use of present-at-admission diagnoses to characterize baseline mortality risk. These improvements are important because models with better statistical performance identify different hospitals as having better or worse than expected mortality.

Culturally tailored intervention for rural African Americans with type 2 diabetes.

PURPOSE: The purpose of this pilot study was to evaluate a culturally tailored intervention for rural African Americans. Social Cognitive Theory provided the framework for the study. METHODS: Twenty-two participants were recruited and randomly assigned to either Group or Individual diabetes self-management (DSME). Group DSME included story-telling, hands-on activities, and problem-solving exercises. Individual DSME sessions focused on goal-setting and problem-solving strategies. Sessions were offered in an accessible community center over a 10-week period. RESULTS: Outcomes included glycosylated hemoglobin (A1C), self-care actions, self-efficacy level, goal attainment, and satisfaction with DSME. Participants in both Group and Individual DSME improved slightly over the 3-month period in self-care activities, A1C level, and goal attainment. Although differences were not statistically significant, trends indicate improved scores on dietary actions, foot care, goal attainment, and empowerment for those experiencing Group DSME. CONCLUSIONS: The culturally tailored approach was well received by all participants. Improvements among those receiving Individual DSME may indicate that brief sessions usinga culturally tailored approach could enhance self-care and glycemic control. Additional testing among more participants over a longer time period is recommended.

Present-at-admission diagnoses improved mortality risk adjustment among acute myocardial infarction patients.

OBJECTIVE: Hospital mortality outcomes for acute myocardial infarction (AMI) patients are a focus of quality improvement programs conducted by government agencies. AMI mortality risk-adjustment models using administrative data typically adjust for baseline differences in mortality risk with a limited set of common and definite comorbidities. In this study, we present an AMI mortality risk-adjustment model that adjusts for comorbid disease and for AMI severity using information from secondary diagnoses reported as present at admission for California hospital patients. STUDY DESIGN AND SETTING: AMI patients were selected from California hospital administrative data for 1996 through 1999 according to criteria used by the California Hospital Outcomes Project Report on Heart Attack Outcomes, a state-mandated public report that compares hospital mortality outcomes. We compared results for the new model to two mortality risk-adjustment models used to assess hospital AMI mortality outcomes by the state of California, and to two other models used in prior research. RESULTS: The model using present-at-admission diagnoses obtained substantially better discrimination between predicted survival and inpatient death than the other models we considered. CONCLUSION: AMI mortality risk-adjustment methods can be meaningfully improved using present-at-admission diagnoses to identify comorbid disease and conditions related closely to AMI.

Spatial analysis of prostate cancer incidence and race in Virginia, 1990-1999.

BACKGROUND: Racial disparities exist in prostate cancer incidence. An important contributor to these disparities may be socioeconomic status. METHODS: Virginia Cancer Registry data, 1990-1999 (37,373 cases) were geocoded to the Census tract and county level. The annualized, age-adjusted incidence rates for African Americans and whites were calculated, and crude and smoothed maps of these rates were produced. Statistical tests for clustering of cases were conducted. Prostate cancer incidence was statistically modeled as a function of area-based measures of poverty, median household income, education, rural status, ratio of physicians to population in each county, percentage of men in each county obtaining prostate cancer screening with the prostate-specific antigen (PSA) test, and percent of households headed by females. RESULTS: Prostate cancer incidence was elevated in the eastern and central portions of the state. Statistical tests for clustering were highly significant (Tango's test, p<0.008; spatial scan statistic, p<0.001). Poverty and lower education were associated with a decreased incidence among whites but not African Americans. Median household income and urban status were positively associated with incidence for both populations. Among whites, increased percent of female heads of households and ratio of physicians per population were associated with increased incidence. Associations between predictor variables and prostate cancer incidence were seen only in the census tract level analyses. CONCLUSIONS: Overall, the findings support the argument that area measures of poverty and education do not explain the increased incidence of prostate cancer among African Americans. Other factors, such as dietary practices, may help explain racial disparities in prostate cancer incidence. Because of the large differences between tract and county level results, the time and expense of obtaining data geocoded to the tract level seems worthwhile.

Inpatient Rehabilitation Outcomes in a National Sample of Medicare Beneficiaries With Hip Fracture.

Effects of patient characteristics on rehabilitation outcomes (functional status at discharge, discharged home) were assessed in a retrospective study of Medicare beneficiaries admitted to Medicare-certified inpatient rehabilitation facilities (IRFs) following hospitalization for hip fracture in 2009 (N = 34,984). Hierarchical regression analysis showed significantly higher functional status at discharge (p < .0001) for patients with these characteristics: White or Asian, younger, female, lived alone, higher functional status at admission, fewer comorbidities, no tier comorbidities, and longer IRF length of stay (LOS). Likelihood of discharged home was higher for patients with these characteristics: Hispanic (1.49 [1.32, 1.68]), Asian (1.35 [1.04, 1.74]), or Black (1.28 [1.12, 1.47]); younger (0.96 [0.96, 0.96]); female (1.14 [1.08, 1.20]); lived with others (2.12 [2.01, 2.23]); higher functional status at admission (1.06 [1.06, 1.06]); fewer comorbidities, no tier comorbidities; and longer LOS (1.61 [1.56, 1.67]). Functional status at admission, tier comorbidities, and race/ethnicity contributed the most to variance in functional status at discharge. Living with others contributed the most to variance in discharged home.

Present-at-admission diagnoses improve mortality risk adjustment and allow more accurate assessment of the relationship between volume of lung cancer operations and mortality risk.

BACKGROUND: Mortality risk adjustment is a key component of studies that examine the statistical relationship between hospital lung cancer operation volume and in-hospital mortality. Previous studies of this relationship have used different methods of adjusting for factors that influence mortality risk, but none have adjusted for differences in comorbid disease using only diagnoses identified as present-at-admission. METHODS: This study uses adjustments for conditions identified as present-at-admission to examine the statistical relationship between the volume of lung cancer operations and mortality among 14,456 California hospital patients, and compares these results to other methods of risk adjustment similar to those used in previous studies. RESULTS: Mortality risk adjustment using present-at-admission diagnoses yielded better discrimination and explained more of the variability in observed deaths. Large increases in hospital procedure volume were associated with much smaller decreases in mortality risk than those estimated using comparable risk-adjustment models. CONCLUSIONS: Present-at-admission diagnoses can be used to improve mortality risk adjustment and may allow a more accurate assessment of the relationship between procedure volume and mortality risk.

Geographic bias related to geocoding in epidemiologic studies.

BACKGROUND: This article describes geographic bias in GIS analyses with unrepresentative data owing to missing geocodes, using as an example a spatial analysis of prostate cancer incidence among whites and African Americans in Virginia, 1990-1999. Statistical tests for clustering were performed and such clusters mapped. The patterns of missing census tract identifiers for the cases were examined by generalized linear regression models. RESULTS: The county of residency for all cases was known, and 26,338 (74%) of these cases were geocoded successfully to census tracts. Cluster maps showed patterns that appeared markedly different, depending upon whether one used all cases or those geocoded to the census tract. Multivariate regression analysis showed that, in the most rural counties (where the missing data were concentrated), the percent of a county's population over age 64 and with less than a high school education were both independently associated with a higher percent of missing geocodes. CONCLUSION: We found statistically significant pattern differences resulting from spatially non-random differences in geocoding completeness across Virginia. Appropriate interpretation of maps, therefore, requires an understanding of this phenomenon, which we call "cartographic confounding."

Researching health inequities among African Americans: the imperative to understand social class.

Racial and ethnic inequities in health abound in many disease categories. African-American communities suffer from an increased burden of illness, with higher incidence and mortality rates and more severe morbidity in cerebrovascular disease, heart disease, several cancers, diabetes, and many other ailments. Healthy People 2010, the federal government's health plan, calls for eliminating health disparities by race, ethnicity, gender, education, income, disability, geographic location, or sexual orientation. Research aimed at increasing our understanding of these health disparities and designing and evaluating interventions to improve African-American health is hampered by a liberal, classless approach. The authors argue for a theoretical framework in this research that recognizes that class exploitation sets the stage for and interacts with racial discrimination to determine racial inequities in health.

Interstate Variation in Receipt of Nephrologist Care in US Patients Approaching ESRD: Race, Age, and State Characteristics.

BACKGROUND AND OBJECTIVES: Although multiple factors influence access to nephrologist care in patients with CKD stages 4-5, the geographic determinants within the United States are incompletely understood. In this study, we examined interstate differences in nephrologist care among patients approaching ESRD. DESIGN, SETTING, PARTICIPANTS, & MEASUREMENTS: This national, population-based analysis included 373,986 adult patients from the US Renal Data System, who initiated maintenance dialysis between 2005 and 2009. Multilevel logistic regression was used to examine interstate variation in nephrologist care (≥12 months before ESRD) for overall and four race-age subpopulations (black or white and older or younger than 65 years). RESULTS: The average state-level probability of having received nephrologist care in all states combined was 28.8% (95% confidence interval, 25.2% to 32.7%) overall and was lowest (24.3%) in the younger black subpopulation. Even at these lower levels, state-level probabilities varied considerably across states in overall and subpopulations (all P<0.001). Overall, excluding the states in the upper and lower five percentiles, the remaining states had a probability of receiving care that varied from 18.5% to 41.9%. The lower probability of receiving nephrologist care for blacks than whites among younger patients noted in most states was attenuated in older patients. Geographically, all New England states and most Midwest states had higher than average probability, whereas most Middle Atlantic and Southern states had lower than average probability. After controlling for patient factors, three state-characteristic categories, including general healthcare access measured by percentage of uninsured persons and Medicaid program performance scores, preventive care measured by percentage of receiving recommended preventive care, and socioeconomic status, contributed 55%-66% of interstate variation. CONCLUSIONS: Patients living in states with better health service and socioeconomic characteristics were more likely to receive predialysis nephrologist care. The reported national black-white difference in nephrologist care was primarily driven by younger black patients being the least likely to receive care.

Hospital discharge abstract data on comorbidity improved the prediction of death among patients hospitalized with aspiration pneumonia.

OBJECTIVE: To use diagnoses reported as present at admission in California hospital discharge abstract data to identify categories of comorbid disease and conditions related to aspiration pneumonia and to assess their association with hospital mortality. STUDY DESIGN AND SETTING: The study population included all persons hospitalized in California from 1996 through 1999, with a principal diagnosis of aspiration pneumonia. Present at admission diagnoses representing comorbid diseases were separated from conditions closely related to aspiration pneumonia by a physician panel through a computer supported Delphi process. Multivariable logistic regression was used to assess the probability of hospital death after adjusting for these patient characteristics. The statistical performance of this method was compared to the performance of two independent methods for measuring comorbid disease. The practical significance of differences in statistical performance was assessed by comparing the estimated effects of age, race, and ethnicity after adjustments using each method. RESULTS: Mortality risk adjustment using present at admission diagnoses resulted in substantially better statistical performance and in different measurements of the adjusted effects of age, race, and ethnicity. CONCLUSION: Reporting present at admission diagnoses in hospital discharge data yields meaningful improvements in hospital mortality risk adjustment.

Comorbid disease and the effect of race and ethnicity on in-hospital mortality from aspiration pneumonia.

BACKGROUND: Racial and ethnic disparities in mortality have been demonstrated in several diseases. African Americans are hospitalized at a significantly higher rate than whites for aspiration pneumonia; however, no studies have investigated racial and ethnic disparities in mortality in this population. OBJECTIVE: To assess the independent effect of race and ethnicity on in-hospital mortality among aspiration pneumonia discharges while comprehensively controlling for comorbid diseases, and to assess whether the prevalence and effects of comorbid illness differed across racial and ethnic categories. DESIGN, SETTING, AND PARTICIPANTS: Retrospective cohort study of 41,581 patients admitted to California hospitals for aspiration pneumonia from 1996 through 1998, using principal and secondary diagnoses present on admission. MEASUREMENT: The primary outcome measure was in-hospital mortality. RESULTS: The adjusted odds of in-hospital death for African-American compared with white discharges [odds ratio (OR)=1.01; 95% confidence interval (CI), 0.91-1.11] was not significantly different. The odds of death for Asian compared with white discharges was significantly lower (OR=0.83; 95% CI, 0.75-0.91). Hispanics had a significantly lower odds of death (OR=0.90; 95% CI, 0.82-0.988) compared to non-Hispanics. Comorbid diseases were more prevalent among African Americans and Asians than whites, and among Hispanics compared to non-Hispanics. Differences in effects of comorbid disease on mortality risk by race and ethnicity were not statistically significant. CONCLUSION: Asians have a lower risk of death, and the risk of death for African Americans is not significantly different from whites in this analysis of aspiration pneumonia discharges. Hispanics have a lower risk of death than non-Hispanics. While there are differences in prevalence of comorbid disease by racial and ethnic category, the effects of comorbid disease on mortality risk do not differ meaningfully by race or ethnicity.

Watchful waiting is reasonable for gallstone symptoms.

Not all patients with symptomatic cholelithiasis require surgery. Nearly half of patients with symptomatic but uncomplicated gallstone disease can be managed successfully with observation and minor dietary changes. This option is a safe one we can offer our patients.

An examination of sex and racial/ethnic differences in the metabolic syndrome among adults: a confirmatory factor analysis and a resulting continuous severity score.

OBJECTIVE: The metabolic syndrome (MetS) is typically diagnosed based on abnormalities in specific clustered clinical measures that are associated with increased risk for coronary heart disease (CHD) and Type 2 diabetes mellitus (T2DM). However, current MetS criteria result in racial/ethnic discrepancies. Our goals were to use confirmatory factor analysis (CFA) to delineate differential contributions to MetS by sub-group, and if contributions were discovered, develop sex and racial/ethnic-specific equations to calculate MetS severity. RESEARCH DESIGN AND METHODS: Using data on adults from the National Health and Nutrition Examination Survey 1999-2010, we performed a CFA of a single MetS factor that allowed differential loadings across groups, resulting in a sex and race/ethnicity-specific continuous MetS severity score. RESULTS: Loadings to the single MetS factor differed by sub-group for each MetS component (p<0.001), with lower factor loadings among non-Hispanic-blacks for triglycerides and among Hispanics for waist circumference. Systolic blood pressure exhibited low factor loadings among all groups. MetS severity scores were correlated with biomarkers of future disease (high-sensitivity C-reactive-protein, uric acid, insulin resistance). Non-Hispanic-black-males with diabetics had a low prevalence of MetS but high MetS severity scores that were not significantly different from other racial/ethnic groups. CONCLUSIONS: This analysis among adults uniquely demonstrated differences between sexes and racial/ethnic groups regarding contributions of traditional MetS components to an assumed single factor. The resulting equations provide a clinically-accessible and interpretable continuous measure of MetS for potential use in identifying adults at higher risk for MetS-related diseases and following changes within individuals over time. These equations hold potential to be a powerful new outcome for use in MetS-focused research and interventions.

Do physicians' implicit views of African Americans affect clinical decision making?

BACKGROUND: Total knee replacement (TKR) is a cost-effective treatment option for severe osteoarthritis (OA). While prevalence of OA is higher among blacks than whites, TKR rates are lower among blacks. Physicians' implicit preferences might explain racial differences in TKR recommendation. The objective of this study was to evaluate whether the magnitude of implicit racial bias predicts physician recommendation of TKR for black and white patients with OA and to assess the effectiveness of a web-based instrument as an intervention to decrease the effect of implicit racial bias on physician recommendation of TKR. METHODS: In this web-based study, 543 family and internal medicine physicians were given a scenario describing either a black or white patient with severe OA refractory to medical treatment. Questionnaires evaluating the likelihood of recommending TKR, perceived medical cooperativeness, and measures of implicit racial bias were administered. The main outcome measures included TKR recommendation, implicit racial preference, and medical cooperativeness stereotypes measured with implicit association tests. RESULTS: Subjects displayed a strong implicit preference for whites over blacks (P < .0001) and associated "medically cooperative" with whites over blacks (P < .0001). Physicians reported significantly greater liking for whites over blacks (P < .0001) and reported believing whites were more medically cooperative than blacks (P < .0001). Participants reported providing similar care for white and black patients (P = .10) but agreed that subconscious biases could influence their treatment decisions (P < .0001). There was no significant difference in the rate of recommendation for TKR when the patient was black (47%) versus white (38%) (P = .439), and neither implicit nor explicit racial biases predicted differential treatment recommendations by race (all P > .06). Although participants were more likely to recommend TKR when completing the implicit association test before the decision, patient race was not significant in the association (P = .960). CONCLUSIONS: Physicians possessed explicit and implicit racial biases, but those biases did not predict treatment recommendations. Clinicians' biases about the medical cooperativeness of blacks versus whites, however, may have influenced treatment decisions.

The associations between race and geographic area and quality-of-care indicators in patients approaching ESRD.

BACKGROUND AND OBJECTIVES: Pre-ESRD care is an important predictor of outcomes in patients undergoing long-term dialysis. This study examined the extent of variation in receiving pre-ESRD care and black-white disparities across urban and rural counties. DESIGN, SETTING, PARTICIPANTS, & MEASUREMENTS: Participants were 404,622 non-Hispanic white and black patients aged >18 years who began dialysis between 2005 and 2010 and resided in 3076 counties from the U.S. Renal Data System. The counties were grouped into large metropolitan, medium/small metropolitan, suburban, and rural counties. Pre-ESRD care indicators included receipt of nephrologist care at least 6 or 12 months before ESRD, dietitian care, use of arteriovenous fistula at first outpatient dialysis session, and use of erythropoiesis-stimulating agents (ESAs) in patients with hemoglobin level < 10 g/dl. RESULTS: Large metropolitan and rural counties had lower percentages of patients who received pre-ESRD nephrologist care (25.7% and 26.9% for nephrologist care > 12 months), compared with the higher percentage in medium/small metropolitan counties (31.6%; both P<0.001). For both races, nonmetropolitan patients had poorer access to dietitian care and lower ESA use than metropolitan patients. Consistently in all four geographic areas, black patients received less care than their white counterparts. The unadjusted odds ratios of black versus white patients in receiving nephrologist care for >12 months before ESRD were 0.66 (95% confidence interval [CI], 0.61-0.72) in large metropolitan counties and 0.79 (95% CI, 0.69-0.90) in rural counties. The patterns remained, albeit attenuated, after adjustment for patient factors. CONCLUSIONS: The receipt of pre-ESRD care, with blacks receiving less care, varies among geographic areas defined by urban/rural characteristics.